In this review, we explore the historical development and future prospects of artificial
intelligence (AI) and deep learning in astronomy. We trace the evolution of connectionism in …

The widespread adoption of large language models (LLMs) makes it important to recognize
their strengths and limitations. We argue that in order to develop a holistic understanding of …

Transformer models such as GPT generate human-like language and are predictive of
human brain responses to language. Here, using functional-MRI-measured brain responses …

All text-based language problems can be reduced to either generation or embedding.
Current models only perform well at one or the other. We introduce generative …

Creating learning models that can exhibit sophisticated reasoning abilities is one of the
greatest challenges in deep learning research, and mathematics is rapidly becoming one of …

Applications of Generative AI (Gen AI) are expected to revolutionize a number of different
areas, ranging from science & medicine to education. The potential for these seismic …

Recent advancement of large-scale pretrained models such as BERT, GPT-3, CLIP, and
Gopher, has shown astonishing achievements across various task domains. Unlike vision …

Large Language Models (LLMs) have revolutionized the field of natural language
processing, but they fall short in comprehending biological sequences such as proteins. To …

Large language models (LLMs) have shown promise for task-oriented dialogue across a
range of domains. The use of LLMs in health and fitness coaching is under-explored …

O Processamento de Linguagem Natural (PLN) surgiu praticamente ao mesmo tempo que
os computadores, por volta da década de 1940, já que a tradução automática entre línguas …